An agent can remember a conversation. But what about the visual context?

Oracle AI Agent Memory 26.8 gives agents image-aware memory.

It lets them keep screenshots, receipts, and product photos as persistent context across sessions → https://bit.ly/47LE1oV

The original image lives in @Oracle AI Database alongside its description and metadata.

▪️ The key detail → search works through text, not pixel similarity. Raw image bytes stay out of default search results and readback, keeping routine retrieval lightweight.

This means that:

• Visual evidence survives across sessions.
• Agents can find stored images through natural-language queries.
• Applications can retrieve the originals for inspection, display, or forwarding.

Messages preserve text and image parts in their original order.
Say a customer returns to a support chat about checkout timeouts. The agent can find the earlier screenshot through its saved description, and the application can load the original for a closer look.

Oracle’s Daniela Pavlenco walks through the workflow with a synthetic support screenshot and a runnable notebook: https://www.turingpost.com/p/how-ai-agents-can-remember-what-they-see